Emma Hutchings at PSFK: “The Smart Citizen Kit is a crowdsourced environmental monitoring platform. By scattering devices around the world, the creators hope to build a global network of sensors that report local environmental conditions like CO and NO2 levels, light, noise, temperature and humidity.
Organized by the Fab Lab at the Institute for Advanced Architecture of Catalonia, a team of scientists, architects, and engineers are paving the way to humanize environmental monitoring. The open-source platform consists of arduino-compatible hardware, data visualization web API and a mobile app. Users are invited to take part in the interactive global environmental database, visualizing their data and comparing it with others around the world.”
‘Digital natives’ tap into the wisdom of the crowd
Financial Times: “The millennial generation is so frequently characterised by its use of technology that its members are often referred to as “digital natives” – a term used to describe those who grew up with the internet and cannot remember a time before mobile phones.
Statistics seem to bear this out. More than 84 per cent of this group, aged between 15 and 30, own a smartphone, compared with 63 per cent of the total population, according to the 2013 Consumer Connection System study of 11,000 adults in 50 countries from Carat, the media researchers. More than 80 per cent have a Facebook profile and nearly 70 per cent regularly visit blogs. The 2012 Millennial impact report, which looked at how this generation connects with non-profit organisations, found 67 per cent interacted with charities on Facebook and 70 per cent made online donations….
Ms Long says that while older generations are “search first”, millennials are “social first”. The tendency for constant online peer group consulting is most extreme at the younger end of the age group. “Millennials are the first generation that are purely about recommendations. They ‘crowd source’ everything. Even if they are walking down the street looking for a cup of coffee, they won’t go in somewhere if they see on a site that it has had a bad review,” she says.”
OGP Report: "Opening Government"
Open Gov Blog: “In 2011, the Transparency and Accountability Initiative (T/AI) published “Opening Government” – a guide for civil society organisations, and governments, to support them to develop and update ambitious and targeted action plans for the Open Government Partnership.
This year, T/AI is working with a number of expert organisations and participants in the Open Government Partnership to update and expand the guide into a richer online resource, which will include new topic areas and more lessons and updates from ongoing experience….
Below you’ll find an early draft of the section in GoogleDocs, where we invite you to edit and comment on it and help to develop it further. In particular, we’d value your thoughts on the following:
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Are the headline illustrative commitments realistic and stretching at each of the levels? If not, please suggest how they should be changed.
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Are there any significant gaps in the illustrative commitments? Please suggest any additional commitments you feel should be included – and better yet, write it!
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Are the recommendations clear and useful? Please suggest any alterations you feel should be made.
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Are there particular country experiences that should be expanded on? Please suggest any good examples you are aware of (preferably linking to a write-up of the project).
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Are there any particularly useful resources missing? If so, please point us towards them.
This draft – which is very much a work in progress – is open for comments and edits, so please contribute as you wish. You can also send any thoughts to me via: [email protected]”
Is Crowdsourcing the Future for Crime Investigation?
Joe Harris in IFSEC Global: “Following April’s Boston Marathon bombings, many people around the world wanted to help in any way they could. Previously, there would have been little but financial assistance that they could have offered.
However, with the advent of high-quality cameras on smartphone devices, and services such as YouTube and Flickr, it was not long before the well-known online collectives such as Reddit and 4chan mobilized members of the public to ask them to review hundreds of thousands of photos and videos taken on the day to try and identify potential suspects….Here in the UK, we recently had the successful launch of Facewatch, and we have seen other regional attempts — such as Greater Manchester Police’s services and appeals app — to use the goodwill of members of the public to help trace, identify, or report suspected criminals and the crimes that they commit.
Does this herald a new era in transparency? Are we seeing the first steps towards a more transparent future where rapid information flow means that there really is nowhere to hide? Or are we instead falling into some Orwellian society construct where people are scared to speak out or think for themselves?”
Why Big Data Is Not Truth
Quentin Hardy in the New York Times: “Kate Crawford, a researcher at Microsoft Research, calls the problem “Big Data fundamentalism — the idea with larger data sets, we get closer to objective truth.” Speaking at a conference in Berkeley, Calif., on Thursday, she identified what she calls “six myths of Big Data.”
Myth 1: Big Data is New
In 1997, there was a paper that discussed the difficulty of visualizing Big Data, and in 1999, a paper that discussed the problems of gaining insight from the numbers in Big Data. That indicates that two prominent issues today in Big Data, display and insight, had been around for awhile…..
Myth 2: Big Data Is Objective
Over 20 million Twitter messages about Hurricane Sandy were posted last year. … “These were very privileged urban stories.” And some people, privileged or otherwise, put information like their home addresses on Twitter in an effort to seek aid. That sensitive information is still out there, even though the threat is gone.
Myth 3: Big Data Doesn’t Discriminate
“Big Data is neither color blind nor gender blind,” Ms. Crawford said. “We can see how it is used in marketing to segment people.” …
Myth 4: Big Data Makes Cities Smart
…, moving cities toward digital initiatives like predictive policing, or creating systems where people are seen, whether they like it or not, can promote lots of tension between individuals and their governments.
Myth 5: Big Data Is Anonymous
A study published in Nature last March looked at 1.5 million phone records that had personally identifying information removed. It found that just four data points of when and where a call was made could identify 95 percent of individuals. …
Myth 6: You Can Opt Out
… given the ways that information can be obtained in these big systems, “what are the chances that your personal information will never be used?”
Before Big Data disappears into the background as another fact of life, Ms. Crawford said, “We need to think about how we will navigate these systems. Not just individually, but as a society.”
New Book: Digital Methods
New book by Richard Rogers, Director of the Govcom.org Foundation (Amsterdam) and the Digital Methods Initiative: “In Digital Methods, Richard Rogers proposes a methodological outlook for social and cultural scholarly research on the Web that seeks to move Internet research beyond the study of online culture. It is not a toolkit for Internet research, or operating instructions for a software package; it deals with broader questions. How can we study social media to learn something about society rather than about social media use? How can hyperlinks reveal not just the value of a Web site but the politics of association? Rogers proposes repurposing Web-native techniques for research into cultural change and societal conditions. We can learn to reapply such “methods of the medium” as crawling and crowd sourcing, PageRank and similar algorithms, tag clouds and other visualizations; we can learn how they handle hits, likes, tags, date stamps, and other Web-native objects. By “thinking along” with devices and the objects they handle, digital research method! s can follow the evolving methods of the medium.
Rogers uses this new methodological outlook to examine the findings of inquiries into 9/11 search results, the recognition of climate change skeptics by climate-change-related Web sites, the events surrounding the Srebrenica massacre according to Dutch, Serbian, Bosnian, and Croatian Wikipedias, presidential candidates’ social media “friends,” and the censorship of the Iranian Web. With Digital Methods, Rogers introduces a new vision and method for Internet research and at the same time applies them to the Web’s objects of study, from tiny particles (hyperlinks) to large masses (social media).”
Techs and the City
Alec Appelbaum, who teaches at Pratt Institute in The New York Times: “THIS spring New York City is rolling out its much-ballyhooed bike-sharing program, which relies on a sophisticated set of smartphone apps and other digital tools to manage it. The city isn’t alone: across the country, municipalities are buying ever more complicated technological “solutions” for urban life.
But higher tech is not always essential tech. Cities could instead be making savvier investments in cheaper technology that may work better to stoke civic involvement than the more complicated, expensive products being peddled by information-technology developers….
To be sure, big tech can zap some city weaknesses. According to I.B.M., its predictive-analysis technology, which examines historical data to estimate the next crime hot spots, has helped Memphis lower its violent crime rate by 30 percent.
But many problems require a decidedly different approach. Take the seven-acre site in Lower Manhattan called the Seward Park Urban Renewal Area, where 1,000 mixed-income apartments are set to rise. A working-class neighborhood that fell to bulldozers in 1969, it stayed bare as co-ops nearby filled with affluent families, including my own.
In 2010, with the city ready to invite developers to bid for the site, long-simmering tensions between nearby public-housing tenants and wealthier dwellers like me turned suddenly — well, civil.
What changed? Was it some multimillion-dollar “open democracy” platform from Cisco, or a Big Data program to suss out the community’s real priorities? Nope. According to Dominic Pisciotta Berg, then the chairman of the local community board, it was plain old e-mail, and the dialogue it facilitated. “We simply set up an e-mail box dedicated to receiving e-mail comments” on the renewal project, and organizers would then “pull them together by comment type and then consolidate them for display during the meetings,” he said. “So those who couldn’t be there had their voices considered and those who were there could see them up on a screen and adopted, modified or rejected.”
Through e-mail conversations, neighbors articulated priorities — permanently affordable homes, a movie theater, protections for small merchants — that even a supercomputer wouldn’t necessarily have identified in the data.
The point is not that software is useless. But like anything else in a city, it’s only as useful as its ability to facilitate the messy clash of real human beings and their myriad interests and opinions. And often, it’s the simpler software, the technology that merely puts people in contact and steps out of the way, that works best.”
The Dictatorship of Data
Kenneth Cukier and Viktor Mayer-Schönberger in MIT Technology Review: “Big data is poised to transform society, from how we diagnose illness to how we educate children, even making it possible for a car to drive itself. Information is emerging as a new economic input, a vital resource. Companies, governments, and even individuals will be measuring and optimizing everything possible.
But there is a dark side. Big data erodes privacy. And when it is used to make predictions about what we are likely to do but haven’t yet done, it threatens freedom as well. Yet big data also exacerbates a very old problem: relying on the numbers when they are far more fallible than we think. Nothing underscores the consequences of data analysis gone awry more than the story of Robert McNamara.”
"A bite of me"
Federico Zannier @ Kickstarter: “I’ve data mined myself. I’ve violated my own privacy. Now I am selling it all. But how much am I worth?
I spend hours every day surfing the internet. Meanwhile, companies like Facebook and Google have been using my online information (the websites I visit, the friends I have, the videos I watch) for their own benefit.
In 2012, advertising revenue in the United States was around $30 billion. That same year, I made exactly $0 from my own data. But what if I tracked everything myself? Could I at least make a couple bucks back?
I started looking at the terms of service for the websites I often use. In their privacy policies, I have found sentences like this: “You grant a worldwide, non-exclusive, royalty-free license to use, copy, reproduce, process, adapt, modify, publish, transmit, display and distribute such content in any and all media or distribution methods (now known or later developed).” I’ve basically agreed to give away a lifelong, international, sub-licensable right to use my personal data….
Check out myprivacy.info to see some of the visualizations I’ve made.
http://myprivacy.info”
Life and Death of Tweets Not so Random After All
MIT Technology Review: “MIT assistant professor Tauhid Zaman and two other researchers (Emily Fox at the University of Washington and Eric Bradlow at the University of Pennsylvania’s Wharton School) have come up with a model that can predict how many times a tweet will ultimately be retweeted, minutes after it is posted. The model was created by collecting retweets on a slew of topics and looking at the time when the original tweet was posted and how fast it spread. That provided knowledge used to predict how popular a new tweet will be by looking at how many times it was retweeted shortly after it was first posted.
The researchers’ findings were explained in a paper submitted to the Annals of Applied Statistics. In the paper, the authors note that “understanding retweet behavior could lead to a better understanding of how broader ideas spread in Twitter and in other social networks,” and such data may be helpful in a number of areas, like marketing and political campaigning.
You can check out the model here.”